Lead AI Scientist

Company Description

MARC is a residential property maintenance software company based in Dublin. We are building AI Agents for property management. We are developing state-of-the-art ML models and agentic systems to power our AI-native platform to streamline and expedite the residential repair process for tenants, firms, and contractors involved. 

This is an incredibly large market with less than a handful of players worldwide, who have all traditionally focused on legacy processes and technology. We recently had to close a very large and oversubscribed angel round, in a tough raising environment and in little over a month, we were 30% oversubscribed on the round.  We are backed by a who’s who of highly successful Irish founders with several very large 9-figure exits. 

We are already working with the largest property managers in Ireland. With a diverse customer base across the UK and Ireland, we’re now seeing significant demand from major European firms eager to adopt MARC’s agentic solutions. Our thesis is that the proptech (Property Technology) industry is ripe for disruption and a perfect match for the recent breakthrough advances in AI. This technology has yet to be deployed in Europe or at scale anywhere globally. We believe these agentic solutions will transform this global industry.

Role Description

This is a full-time hybrid/flex role for a Lead AI Scientist at MARC based in our new offices in the heart of Dublin City. The successful candidate will be responsible for developing state-of-the-art models and agentic systems to automate key processes that power the proptech industry.

Qualifications

• Exceptional ML and deep learning expertise, including a clear understanding of the strengths and limitations of current neural nets.
• Strong coding experience in a language such as Python.
• Relevant or commercial experience in building and maintaining production ML systems.
• Expert-level understanding of transformer architecture internals.
• Experience with prompt caching or KV caching techniques.
• Experience working with OpenAI (or similar Google/Anthropic) APIs, such as the Chat Completions and Assistants API.
• Comfortable with modern software engineering best practices, and familiarity with source control (i.e. git).
• Strong communication and collaborative skill set.
• Team player mindset and bias to action.
• Excellent prioritisation skills and ability to deliver projects effectively on a tight schedule.
• Ability to work both independently and collaboratively.
• Strong opinions, loosely held mindset.

Nice to have

• Publications from AI conferences such as NeurIPS, ICML, ICLR, or other.
• HW accelerator experience (GPU/TPU).
• Experience training or fine-tuning large models (10b+ parameters).
• PHP / Laravel experience.
• Experience or interest in cloud infrastructure automation tools such as Terraform.
• Interest in disrupting traditional business models with generative AI.